- recipe bioconductor-neuca
NEUral network-based single-Cell Annotation tool
- Homepage
- License
GPL-2
- Recipe
NeuCA is is a neural-network based method for scRNA-seq data annotation. It can automatically adjust its classification strategy depending on cell type correlations, to accurately annotate cell. NeuCA can automatically utilize the structure information of the cell types through a hierarchical tree to improve the annotation accuracy. It is especially helpful when the data contain closely correlated cell types.
- package bioconductor-neuca¶
-
- Versions
1.0.0-0
- Depends
bioconductor-limma
>=3.50.0,<3.51.0
bioconductor-singlecellexperiment
>=1.16.0,<1.17.0
r-base
>=4.1,<4.2.0a0
- Required By
Installation
With an activated Bioconda channel (see 2. Set up channels), install with:
conda install bioconductor-neuca
and update with:
conda update bioconductor-neuca
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-neuca:<tag>
(see bioconductor-neuca/tags for valid values for
<tag>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-neuca/README.html)